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Forward Deployed Engineer
San Francisco +2 · On-site · Full-time · Posted Oct 6, 2026
- Location
- San Francisco
New York
Remote - Experience
- 5+ years in software engineering, machine learning engineering, or data science; alternatively, the posting lists these as experience areas, not alternatives to the years requirement.
About the job
Embeds with customer teams to discover high-value use cases, build and launch production AI systems, and support and improve them using real-world feedback.
What you'll do
- Lead customer discovery, identify workflow bottlenecks, and define success metrics.
- Design, ship, monitor, and iterate on production agents, AI applications, and coding-agent workflows integrated with customer systems.
- Own production quality and outcomes, support customer operation of deployed systems, and share reusable patterns with product engineering.
What they ask for
- 5+ years of experience in software engineering, machine learning engineering, or data science.
- Writes and reviews production code; Python and JavaScript/TypeScript are named examples.
- Has built and owned production AI-native workflows or agents and debugged production failures.
- Has handled production reliability, including metrics, alerts, safe rollouts, and incident response.
Nice to have
- 2+ years in a customer-facing role, leading discovery and being accountable for external stakeholder outcomes.
- Experience as a forward-deployed, solutions, or platform engineer embedded with customers, or as a founding engineer who owned an AI product end to end.
Tools
Python, JavaScript/TypeScript, Grok, MCP servers, CI/CD
AI focus
Builds production agents, AI applications, and coding-agent workflows on Grok and other models; integrates tools, retrieval, rules, skills, and evaluations, then measures and improves deployed systems.
Model-written summary · the original posting is authoritative